Paper Citation Record · LEDGER

Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2112.13906.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2112.13906 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:10:52.333997Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T10:29:44.358634Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9a3440f3-bbb9-4565-b977-3fd864f3f479 · inbound

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs cites this paper.

BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-13T10:42:22.455703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1253e8ae-703d-481f-a8ee-ad8737c6c709 · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:13:53.045700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 969c01af-5edb-4cb7-b6e5-d359eb2c90ad · inbound

Chest X-ray Foundation Model with Global and Local Representations Integration cites this paper.

Chest X-ray Foundation Model with Global and Local Representations Integration Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T20:10:52.333997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18ae110-5f86-45ee-b14d-4347e8e05511 · inbound

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis cites this paper.

Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:37:15.143976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da3006bc-2a3e-4827-a30f-e1cb6c25853c · inbound

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning cites this paper.

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:06.852295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb3c126-1df2-4150-a4e6-468ddb3e62d0 · inbound

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models cites this paper.

VSF-Med:A Vulnerability Scoring Framework for Medical Vision-Language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:04.632061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fca317d1-0493-4faa-b198-6f911d0aaf6e · inbound

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.

Prompt Mechanisms in Medical Imaging: A Comprehensive Survey Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T22:02:25.038638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df982fbe-0fad-4113-b25f-48f58704bd8e · inbound

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models cites this paper.

LangMamba: A Language-driven Mamba Framework for Low-dose CT Denoising with Vision-language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:15:13.302139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f7a10a-0182-41a5-a26b-c32e6ebd09de · inbound

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation cites this paper.

BiomedAP: A Vision-Informed Dual-Anchor Framework with Gated Cross-Modal Fusion for Robust Medical Vision-Language Adaptation Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:23:41.047579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d48379c2-451b-4338-902e-0921ee07d167 · inbound

Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain cites this paper.

Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.326764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8654be57-58df-4174-af77-925585a79198 · inbound

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models cites this paper.

Geometry-Aware Distillation for Prompt Tuning Biomedical Vision-Language Models Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:56:47.146118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f311d815-f819-45e7-a1cc-a7113c79f018 · inbound

Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies cites this paper.

Brain-Adapter: A Dual-Stream Vision-Language MIL Framework for Comprehensive 3D CT Diagnosis of Acute Intracranial Pathologies Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:44.360421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.